{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:12:56Z","timestamp":1740175976235,"version":"3.37.3"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Inxpect S.P.A"},{"name":"ERC","award":["637 076 - RoboExNovo"],"award-info":[{"award-number":["637 076 - RoboExNovo"]}]},{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Machine Learning &#x2013; New Perspectives for Science","award":["EXC 2064\/1","390727645"],"award-info":[{"award-number":["EXC 2064\/1","390727645"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/lra.2020.3047777","type":"journal-article","created":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T20:45:15Z","timestamp":1609188315000},"page":"604-611","source":"Crossref","is-referenced-by-count":2,"title":["On the Challenges of Open World Recognition Under Shifting Visual Domains"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8644-8281","authenticated-orcid":false,"given":"Dario","family":"Fontanel","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7077-697X","authenticated-orcid":false,"given":"Fabio","family":"Cermelli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8595-9955","authenticated-orcid":false,"given":"Massimiliano","family":"Mancini","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7169-0158","authenticated-orcid":false,"given":"Barbara","family":"Caputo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"Analyzing and improving representations with the soft nearest neighbor loss","year":"0","author":"frosst","key":"ref39"},{"article-title":"Distilling the knowledge in a neural network","year":"0","author":"hinton","key":"ref38"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01257"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00576"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref30","article-title":"Self-challenging improves cross-domain generalization","author":"huang","year":"0","journal-title":"Eur Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref36","article-title":"Towards recognizing unseen categories in unseen domains","author":"mancini","year":"0","journal-title":"In Proc European Conf Comp Vis"},{"key":"ref35","first-page":"422","article-title":"On the effectiveness of image rotation for open set domain adaptation","author":"bucci","year":"0","journal-title":"In Proc European Conf Comp Vis"},{"key":"ref34","first-page":"754","article-title":"Open set domain adaptation","author":"p","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3007092"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593862"},{"key":"ref40","first-page":"69","article-title":"Unsupervised learning of visual representations by solving jigsaw puzzles","author":"noroozi","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref12","first-page":"4489","article-title":"Incremental adversarial domain adapt. for continually changing environments","author":"wulfmeier","year":"0","journal-title":"Proc IEEE Int Conf Robot Automat"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.548"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00673"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00807"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2705282"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2809700"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980382"},{"key":"ref19","first-page":"2170","author":"loghmani","year":"0","journal-title":"Proc IEEE Int Conf Robot Automat"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298799"},{"key":"ref28","first-page":"2287","article-title":"Part-based room categorization for household service robots","author":"ur\u0161i?","year":"0","journal-title":"Proc IEEE Int Conf Robot Automat"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2894216"},{"key":"ref3","first-page":"849","article-title":"Kittingbot: A mobile manipulation robot for collaborative kitting in automotive logistics","author":"pavlichenko","year":"0","journal-title":"Proc Int Conf Intell Auton Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793803"},{"article-title":"Online open world recognition","year":"2016","author":"rosa","key":"ref5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968108"},{"key":"ref8","first-page":"1","article-title":"Comprehensive survey on domain adaptation for visual applications","author":"csurka","year":"2017","journal-title":"Domain adaptations for computer vision applications"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3010753"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0278364907087172"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460650"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2005.03.011"},{"key":"ref20","first-page":"488","article-title":"Metric learning for large scale image classification: Generalizing to new classes at near-zero cost","author":"mensink","year":"0","journal-title":"Eur Conf Comput Vis"},{"key":"ref22","article-title":"Deep nearest class mean classifiers","author":"guerriero","year":"0","journal-title":"Proc Int Conf Learn Representations ICLR-WS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref24","first-page":"3516","article-title":"Multi-task domain adapt. for deep learning of instance grasping from simulation","author":"fang","year":"0","journal-title":"Proc IEEE Int Conf Robot Automat"},{"key":"ref42","article-title":"Class-incremental domain adaptation","author":"kundu","year":"0","journal-title":"In Proc European Conf Comp Vis"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8205961"},{"key":"ref41","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"0","journal-title":"Proc Intl Conf on Learning Representations"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197326"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01291"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9285111\/09309407.pdf?arnumber=9309407","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:25Z","timestamp":1652194465000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9309407\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":42,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.3047777","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}